{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 4. Second_break\n",
    "买入：突破20天最高价，且是过往20天第一次突破。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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E2PLcKN685TziY6P4zfDOdGrRkB4JsQD8sPMI93/0I0/+b4P7OfMfHsITY3ow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\n2kCpLQAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x4973710>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import numpy as np\n",
    "import talib as ta\n",
    "from fxdayu_data import DataAPI\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "DataAPI.set_file('D:/PycharmProjects/Quant_Alpha/Data_Manager/Valuation_Selection/config.py')\n",
    "hs300 = DataAPI.candle('sh000001', 'D')\n",
    "\n",
    "x = np.array(range(10, 81, 10))\n",
    "\n",
    "def Second_Breakout(s):\n",
    "    high = ta.MAX(hs300.high.values, s)\n",
    "    low = ta.MIN(hs300.low.values, s)\n",
    "    return {s: high, -s: low}\n",
    "\n",
    "def day_range(data):\n",
    "    low = 0\n",
    "    high = 0\n",
    "    is_high = 1\n",
    "    is_low = 1\n",
    "    for i in x:\n",
    "        if is_low:\n",
    "            if data['low'] <= data[-i]:\n",
    "                low = -i\n",
    "            else:\n",
    "                is_low = 0\n",
    "                if is_high == 0:\n",
    "                    return low\n",
    "        if is_high:\n",
    "            if data['high'] >= data[i]:\n",
    "                high = i\n",
    "            else:\n",
    "                is_high = 0\n",
    "                if is_low == 0:\n",
    "                    return high\n",
    "\n",
    "    if is_high:\n",
    "        return high\n",
    "    elif is_low:\n",
    "        return low\n",
    "\n",
    "if __name__ == '__main__':\n",
    "    dct = {'high': hs300.high, 'low': hs300.low}\n",
    "    for i in x:\n",
    "        dct.update(Second_Breakout(i))\n",
    "    df = pd.DataFrame(dct).dropna()\n",
    "\n",
    "    BreakDay = []\n",
    "    for row in df.iterrows():\n",
    "        BreakDay.append(day_range(row[1]))\n",
    "    df['BreakDay'] = BreakDay\n",
    "\n",
    "    fig,(ax,ax1) = plt.subplots(2,1, sharex=True)\n",
    "    ax.plot(hs300.close)\n",
    "    ax1.bar(df.index, df.BreakDay)\n",
    "    plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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VYJ4+fEjoYV8U7X9fnCyrVyfhwQPunztD2Xr1de8bqFQ4fzQI9dOnNP/hR0pWrUbtESOp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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x21875c88>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from rqalpha import run_code\n",
    "\n",
    "code = \"\"\"\n",
    "import numpy as np\n",
    "import talib as ta\n",
    "import pandas as pd\n",
    "import os\n",
    "import rqalpha\n",
    "from rqalpha.api import *\n",
    "\n",
    "def Second_Breakout(high_array, low_array, period):\n",
    "    high = ta.MAX(high_array, period)\n",
    "    low = ta.MIN(low_array, period)\n",
    "    return {period: high, -period: low}\n",
    "\n",
    "def Second_Break_DF(context, high, low):\n",
    "    position_dict = {'high': high, 'low':low}\n",
    "    for i in context.period:\n",
    "        position_dict.update(Second_Breakout(high, low, i))\n",
    "    DF = pd.DataFrame(position_dict).dropna()\n",
    "    return DF\n",
    "\n",
    "def Second_Break_Indicator(context, series):\n",
    "    low = 0\n",
    "    high = 0\n",
    "    is_high = 1\n",
    "    is_low = 1\n",
    "    for i in context.period:\n",
    "        if is_low:\n",
    "            if series['low'] <= series[-i]:\n",
    "                low = -i\n",
    "            else:\n",
    "                is_low = 0\n",
    "                if is_high == 0:\n",
    "                    return low\n",
    "        if is_high:\n",
    "            if series['high'] >= series[i]:\n",
    "                high = i\n",
    "            else:\n",
    "                is_high = 0\n",
    "                if is_low == 0:\n",
    "                    return high\n",
    "\n",
    "    if is_high:\n",
    "        return high\n",
    "    elif is_low:\n",
    "        return low\n",
    "\n",
    "def break_day(context, df):\n",
    "    return [Second_Break_Indicator(context, row) for name, row in df.iterrows()]\n",
    "\n",
    "def init(context):\n",
    "    context.s1 = \"000001.XSHE\"\n",
    "    context.period = np.array(range(10, 81, 10))\n",
    "    context.stoplossmultipler= 0.99\n",
    "    context.takepofitmultipler= 5\n",
    "\n",
    "\n",
    "def handle_bar(context, bar_dict):\n",
    "    high = history_bars(context.s1, 101, '1d', 'high')\n",
    "    print high\n",
    "    low = history_bars(context.s1, 101, '1d', 'low')\n",
    "    close = history_bars(context.s1, 62, '1d', 'close')\n",
    "    # if len(high)>101:\n",
    "    EMA = ta.EMA(close, 50)\n",
    "    DF =  Second_Break_DF(context, high, low)\n",
    "    bd = break_day(context, DF)\n",
    "    shares = context.portfolio.cash/bar_dict[context.s1].close\n",
    "    if bar_dict[context.s1].close < EMA[-2]:\n",
    "        order_target_value(context.s1, 0)\n",
    "\n",
    "    if bd[-1]>30 and bd[-2]<30 and max(bd)==bd[-1]:\n",
    "        order_shares(context.s1, shares)\n",
    "    \"\"\"\n",
    "\n",
    "config = {\n",
    "  \"base\": {\n",
    "    \"start_date\": \"2006-06-01\",\n",
    "    \"end_date\": \"2016-12-01\",\n",
    "    \"securities\": ['stock'],\n",
    "    \"stock_starting_cash\": 100000,\n",
    "    \"benchmark\": \"000300.XSHG\"\n",
    "#     \"strategy_file_path\": os.path.abspath(__file__)\n",
    "  },\n",
    "  \"extra\": {\n",
    "    \"log_level\": \"verbose\",\n",
    "  },\n",
    "  \"mod\": {\n",
    "    \"sys_analyser\": {\n",
    "      \"enabled\": True,\n",
    "      \"plot\": True\n",
    "    }\n",
    "  }\n",
    "}\n",
    "\n",
    "run_code(code, config)"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 2",
   "language": "python",
   "name": "python2"
  },
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